Clustered 2 filings across 2 jurisdictions · filed Jul 27, 2018. View entity profile → Other incidents for this victim →
incident inc_e417b96f615e4865 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
OR WA
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 1, 2008
When the intrusion reportedly occurred, per the linked filings
Jun 16, 2018
Reported by WASHINGTON AG, OREGON AG filings
Yale University, a education sector entity reported a unclear/unknown incident to the Washington Attorney General. The organization became aware of the incident on 2018-06-16 and filed notice on 2018-07-27. 1,742 Washington residents were affected. 41 days elapsed between awareness and notification. 3728 days to identify the breach. 0 days to contain the breach.
Affected (this filing): 1,742
Yale University reported a data breach to the Oregon Attorney General. The breach was reported on 2018-07-27. The breach occurred during 4/1/2008 - 4/1/2008. The breach was discovered on 6/16/2018. 119,000 individuals were affected. Notice was sent on 7/27/2018.
Affected (this filing): 119,000
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.